GWAS-Identified Variants for Obesity Do Not Influence the Risk of Developing Multiple Myeloma: A Population-Based Study and Meta-Analysis
Metadatos
Mostrar el registro completo del ítemEditorial
MDPI
Materia
Multiple myeloma Obesity Genetic variants Susceptibility
Fecha
2023-03-23Referencia bibliográfica
Sánchez-Maldonado, J.M.; Cabrera-Serrano, A.J.; Chattopadhyay, S.; Campa, D.; Garrido, M.d.P.; Macauda, A.; Ter Horst, R.; Jerez, A.; Netea, M.G.; Li, Y.; et al. GWAS-Identified Variants for Obesity Do Not Influence the Risk of Developing Multiple Myeloma: A Population-Based Study and Meta-Analysis. Int. J. Mol. Sci. 2023, 24, 6029. [https://doi.org/10.3390/ijms24076029]
Patrocinador
Instituto de Salud Carlos III (Madrid, Spain; PI17/02256 and PI20/01845); Consejería de Salud y Familia de la Junta de Andalucía (PY20/01282); Dietmar Hopp Foundation and the German Ministry of Education and Science (BMBF: CLIOMMICS (01ZX1309)Resumen
Multiple myeloma (MM) is an incurable disease characterized by the presence of malignant
plasma cells in the bone marrow that secrete specific monoclonal immunoglobulins into the blood.
Obesity has been associated with the risk of developing solid and hematological cancers, but its role
as a risk factor for MM needs to be further explored. Here, we evaluated whether 32 genome-wide
association study (GWAS)-identified variants for obesity were associated with the risk of MM in
4189 German subjects from the German Multiple Myeloma Group (GMMG) cohort (2121 MM cases
and 2068 controls) and 1293 Spanish subjects (206 MM cases and 1087 controls). Results were then
validated through meta-analysis with data from the UKBiobank (554 MM cases and 402,714 controls)
and FinnGen cohorts (914 MM cases and 248,695 controls). Finally, we evaluated the correlation of
these single nucleotide polymorphisms (SNPs) with cQTL data, serum inflammatory proteins, steroid
hormones, and absolute numbers of blood-derived cell populations (n = 520). The meta-analysis of
the four European cohorts showed no effect of obesity-related variants on the risk of developing MM.
We only found a very modest association of the POC5rs2112347G and ADCY3rs11676272G alleles with MM risk that did not remain significant after correction for multiple testing (per-allele OR = 1.08,
p = 0.0083 and per-allele OR = 1.06, p = 0.046). No correlation between these SNPs and functional
data was found, which confirms that obesity-related variants do not influence MM risk.